code: def state_batch_axis(self):
      if self.layout == "NT":
          return 0, 0
      else:
          return 1, 1
  
imports: from typing import Union, Optional, List
  from torch import nn
  import torch
  from ..layers import PositionwiseFFN
  from ..attention_cell import MultiHeadAttentionCell, gen_mem_attn_mask, gen_self_attn_mask
  from ..utils import to_torch_dtype
label_desc: Use image node_id 6 for calling the TransformerDecoderLayer obj's underlying member method code with example usage: obj.state_batch_axis() and returns: int,  int, int,  int